Statistical
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Statistical Justification for Sample Size and the Use of Only 3 Lots for Process Validation
Almost all manufacturing and development companies perform at least some process validation studies, but it is difficult to decide how many Lots to include in the study and how large the Sample per Lot should be. This webinar provides... -
Statistical Power – Understanding, Calculating, and How to Effectively Use it
Statistical power is an indicator of the ability of a test of significance to “detect” a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in... -
Statistical Process Control – Keys to Prevent Process Variation and Ensure Quality
Statistical process control (SPC) is a form of feedback process control that does for discrete manufacturing operations what automatic process control does for chemical process operations. The control chart reveals the presence of special or assignable causes that require... -
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Statistical Process Control (SPC)
All companies want to improve the quality of their products. Attempts to improve product quality need to be structured in such a way that they have a reasonable chance of success and the cost/benefit ratio is appropriate. The most... -
Statistical Process Control (SPC)
All companies want to improve the quality of their products. Attempts to improve product quality need to be structured in such a way that they have a reasonable chance of success and the cost/benefit ratio is appropriate. The most... -
Statistical Process Control (SPC) and Control Charts – In Accordance with Latest FDA Expectations
Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. It is one of the fifteen subpart requirements of the US FDA’s QS Regulation, 21 CFR 82, the Medical... -
Statistical Tips and Techniques for Handling Missing Data
If you work with data, you should attend this webinar. Real life data is not pretty. It is messy and often incomplete. There are many ways to handle missing data and many of these ways are not the best.... -
Statistics and Data Analysis for Auditors
“The goal is to transform data into information, and information into insight” – Carly Fiorina, former President of Hewlett Packard Too often we make an art form out of collecting data, while the “business” of analyzing it is neglected.... -
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Using Run and Control Charts to Understand Variation
Quality improvement experts around the globe know that a picture is worth a thousand words. Instead of relying on complicated and confusing data tables, we prefer to make a picture of the data and let the picture do the... -
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size. Almost all manufacturing and development... -
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size. Almost all manufacturing and development... -
Sale!
Valid Statistical Rationales for Sample Sizes
Almost all manufacturing and development companies perform at least some verification testing or validation studies of design-outputs and/or manufacturing processes, but it is sometimes difficult to explain the rationale for the sample sizes used in such efforts. This webinar... -
Zero Acceptance Sampling to Reduce Inspection Costs
Inspection is a necessary but non-value-adding activity whose purpose is to protect the customer from poor quality. We should therefore do as little as possible, upon condition that our inspection plan meet the customer’s requirement. Inspection plans with acceptance...
